Vehicle Bus Traffic Analysis for Event Recorder Identification
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Solution Overview
Problem
Vehicle event recorders often fail to accurately identify vehicles due to missing or incorrect vehicle information, leading to incorrect event identification and misassociation of stored data.
Innovation Solution
A system that uses a processor to determine a unique data fingerprint from traffic on a vehicle bus, comparing it to a database to identify the vehicle, including packet source and destination information, and stable byte ranges to accurately associate vehicle identifiers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle information is manually entered into the vehicle event recorder, then the system can store and process vehicle data, but the identification accuracy deteriorates due to missing or incorrect information
Solution Approach 1:
The vehicle event recorder automatically determines vehicle information by analyzing bus traffic patterns without requiring manual entry. The system extracts vehicle identifiers, make, model, and other characteristics directly from the vehicle's own communication bus, enabling self-identification and eliminating reliance on potentially erroneous manual input
Solution Approach 2:
The patent replaces the manual information entry process with an automated electronic analysis system. Instead of physically entering vehicle data through keyboards or interfaces, the system uses a processor to automatically analyze digital bus traffic signals and extract vehicle identification information, substituting mechanical/manual operations with electronic automation
2Quantity of substance
If vehicle information is entered incorrectly, then data storage capacity is maintained, but event analysis accuracy deteriorates due to incorrect vehicle association
Solution Approach 1:
The system continuously monitors bus traffic and uses the observed communication patterns as feedback to accurately determine vehicle characteristics. By analyzing the actual operational signals from the vehicle's control systems, the recorder receives feedback about the true vehicle identity and uses this to correctly associate all stored event data with the appropriate vehicle
Solution Approach 2:
The bus traffic analysis acts as an intermediary between the vehicle and the event recorder. Instead of directly receiving vehicle information through manual input, the system uses the vehicle's own communication bus traffic as an intermediate source to extract accurate vehicle identifiers, making the identification process indirect but more reliable
3Extent of automation
If manual vehicle information entry is used, then system complexity is reduced, but automation level deteriorates requiring manual intervention
Solution Approach 1:
The processor in the vehicle event recorder performs multiple functions: it records events, analyzes bus traffic patterns, extracts vehicle identification information, and associates data with the correct vehicle. By making the processor multi-functional, the system achieves high automation without adding separate dedicated hardware components for each function
Solution Approach 2:
The patent combines the vehicle identification function with the existing event recording system. Instead of creating a separate identification system, the processor merges the analysis of bus traffic with the event recording operations, combining multiple functions into a single integrated system that reduces overall complexity
Data Source
AI summary
A system for identifying a vehicle includes an input interface and a processor. The input interface is configured to receive traffic from a vehicle bus. The processor is configured to determine a data fingerprint from the traffic; and determine an identifier for the vehicle from the fingerprint.